Dataset Versions

v6

2022-03-21 V6

Generated on Mar 21, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 97%
1776Images
Valid Set 3%
60Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-82% Horizontal Region, 16-79% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 2% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±11° Horizontal, ±11° Vertical
Blur: Up to 6px
Mosaic: Applied

Similar Projects

See More